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Re-imagining Unstructured Data with AI || Top 40 Under 40 Data Scientist
Highlights – NASSCOM Makers Honor 2026 — Top 30 Engineers of India | AI & Deep-Tech Pioneer — Featured in the inaugural Makers Honor Compendium (Page 32), announced at NTLF 2026, Asia's largest technology summit. - 12+ years of core experience in research & development in Artificial Intelligence, Generative AI, NLP & Large Language Models, Machine Learning, Deep Learning, Product Leadership, Product management and Analytics. - Published 10+ articles at Peer-reviewed & high impact journals along with several presentations at international conferences on Artificial Intelligence, Machine Learning, Healthcare & Pharma themes. - AI Product Owner for LLM based internal product enabling users to make informed decisions or recommendations from internal & confidential data. - NASSCOM Makers Honor 2026 — AI & Deep-Tech Pioneer (Top 30 Engineers of India) - Top 40 Under 40 Data Scientist — Analytics India Magazine (2020) - Winner of Merck India Awards 2023 in the category of Pioneering Breakthrough Technology for the project titled “AI-Based Patient-Focused Drug Development” in Healthcare sector. - Runner Up of Merck India Awards 2021 for Best Technology project titled “Deviation data mining for global manufacturing in Healthcare using Text Analytics”. - Winner of Merck UPTIMIZE Tech Awards 2024 for Best Pipeline Optimization – Healthcare for the project titled “MInE – AI enabled Medical Insights Engine”.
University of Sussex
Postgraduate Specialization, Intelligent Systems
January 1, 2012 – January 1, 2013
Savitribai Phule Pune University
Bachelor of Engineering (BEng), Computer Science
June 1, 2008 – May 1, 2011
MSBTE, Mumbai
Diploma, Computer Technology
June 1, 2005 – May 1, 2008
Axtria - Ingenious Insights
Delivery Leader & Associate Director – Generative AI/LLMs, NLP & AI
March 1, 2025 – Present
Bengaluru, Karnataka, India · Hybrid
Merck Group
Lead Data Scientist - Text Analytics, NLP/LLM/GenAI & AI
November 1, 2022 – March 1, 2025
Bengaluru, Karnataka, India
Merck KGaA, Darmstadt, Germany
Principal Data Scientist - Text Analytics, NLP / NLU & Artificial Intelligence
June 1, 2019 – November 1, 2022
Genpact Smart Decision Labs - Analytics & Research
Senior Data Scientist & Solutions Architect - AI, NLU, Machine Learning, Text Mining & Data Science
November 1, 2015 – May 1, 2019
Bengaluru, Karnataka, India
Snapdeal
Data Scientist - Data Science, Text Mining, NLP, Machine Learning & Analytics
June 1, 2015 – November 1, 2015
Gurugram, Haryana, India
eMudhra Limited
Data Scientist - NLP, Machine Learning & Text Mining
June 1, 2014 – May 1, 2015
Bengaluru, Karnataka, India
Click Stream Analytics
September 1, 2015 – Present
The daily click stream data of 200GB for major E-Commerce from App, WAP & Web is passed through the engine developed to understand the behavior of a logged in Customer. This engine provides several key insights about journey of a customer on the website, whether a customer is daily or frequent visitor, propensity towards visiting specific brand pages or categories, order conversion from visits, etc. These key insights help drive more personal and targeted campaigns based on the persona of the customer. The Engine mainly uses the MongoDB & Solr to dump and process such huge data along with Apache Spark to parallelize the computations. It also uses NLP and Machine Learning to plot the behavior of the customer.
FBT – Frequently Bought Together – Recommendations Engine
July 1, 2015 – Present
A Recommendation Engine is designed and developed which uses the transactional data and the Product description data for generating the supplementary products that can go with a product which a customer is planning to buy. The engine uses has four key components i.e. The Association Engine using LISM, Assortment Filtering, NLP Engine and Text Mining. The four stage processing uses the transactional data to identify the possible associations at variety of levels and then using NLP and Text Mining to recommend the compatible products for the customer. The Engine is live on Snapdeal Website and can be seen under “Combos”. Using the same recommendation engine a record breaking 4% conversion rate was achieved for campaigns and also the order conversion from FBT was also very high.
AutoTabbing Project
January 1, 2015 – Present
Auto Highlighting and auto Summarization of large documents in live and real time using Data Science, Machine Learning and Natural Language Processing. This project also involves automatic Document Classification and Auto detection of Meta Data of the Document. Research on large PDF Document parsing and highlighting along with summary generation is also a major part of the project. The key responsibility in this project is from Research to development of the end product.
Topic Identification
January 1, 2015 – Present
This tool uses the Wikipedia as the Knowledge base to identify the Main Topic of any given message or document from any source like Trip Advisor, Twitter, Consumer Complaints, etc. This project involved Natural Language Processing and Contextual Understanding techniques.
Facebook based Brand Analytics
November 1, 2014 – Present
Understanding and extracting the data from Facebook pages which includes the likes and comments for the client brand and its competitors. The analytics involves working with Facebook API to extract data from the pages, then using NLP techniques to find the key discussion themes from the comments about the client brand and same for its competitive. Also working on computing the active users on client brand as well as the competitor brand which helps analyze activity performed by these users based on likes to posts and comments.
Auto Sentiment Analysis and Categorization
October 1, 2014 – Present
Automatic Sentiment Analysis and Categorization for the data of one of the America and Canada’s top five banks. This project involved automatic identification of Sentiments and categorization using natural Language Processing and Machine Learning techniques. GATE and other data science techniques were used for the design and implementation.
Automated Text Summarization
October 1, 2014 – Present
Automatic summarization of the given text using contextual ranking and deep Natural Language Processing. The summary generated accurately extracts the key and central sentences from the document.
Multilingual Capability
July 1, 2014 – Present
Solely responsible for adding the capability to understand and process the data from multiple languages like Chinese (Traditional & Simplified), Arabic, French, Malay, etc. This capability is now extended to 80 languages for processing and deriving insights out of the data in the Veda Discovery.
Become a Leader
June 24, 2026 – Present
Deep Learning Specialization
DeepLearning.AI
June 24, 2026 – Present
Elasticsearch Engineer I
Elastic
June 24, 2026 – Present
Elasticsearch Engineer II
Elastic
June 24, 2026 – Present
Machine Learning & Spark with PySpark
UNext For Enterprise
June 24, 2026 – Present
AI for Medicine Specialization
DeepLearning.AI
June 24, 2026 – Present
Unconscious Bias
Project Management Institute
June 24, 2026 – Present
Become a Thought Leader
June 24, 2026 – Present
Digital Transformation for Leaders
June 24, 2026 – Present
Product Leader Certification
Product School
June 24, 2026 – Present
Improve Your Problem-Solving Skills
June 24, 2026 – Present
MT3 - MERCK TECH TRENDS TRAINING DIGITAL TRANSFORMATION
June 24, 2026 – Present
MERCK RD-SO LEARNING - FOCUS COLLABORATIVE NETWORK
June 24, 2026 – Present
IBM Applied AI Professional Certificate
IBM
June 24, 2026 – Present
Executive Data Science Specialization
The Johns Hopkins University
June 24, 2026 – Present
Natural Language Processing Specialization
DeepLearning.AI
June 24, 2026 – Present
Reinforcement Learning Specialization
University of Alberta
June 24, 2026 – Present
Product Manager Certification
Product School
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a strong inclination towards solving complex, real-world problems using advanced data science and AI techniques across diverse domains (e-commerce, healthcare, social media analytics, document processing). The progression from Data Scientist to Lead Data Scientist and Delivery Leader/Associate Director roles, coupled with numerous certifications, indicates a proactive and continuous learning mindset. This aligns well with a culture that values innovation, technical depth, and leadership in emerging technologies. The breadth of experience across different companies and industries also suggests adaptability.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight leadership, mentoring, collaboration with cross-functional teams, and thought leadership (publications, presentations). These indicate strong soft skills for a senior role, including strategic thinking, team guidance, and stakeholder management. The focus on understanding business problems and developing optimized solutions suggests a strong operational fit for driving data-driven initiatives.